Adding custom metrics to a function works differently than traditional monitoring. The traditional approach involves adding an agent to each machine that collects metrics and periodically sends the data to the monitoring system. But with Function-as-a-service, there is no machine for us to deploy an agent on. An alternative is simply to send the collected metrics at the end of each function invocation. However, this adds significant latency to each function invocation. Datadog offers a unique alternative based on structured log statements. Counts, gauges, histograms, and checks are simply logged as they are collected and Datadog automatically consumes these statements from CloudWatch Logs.
The serverless-datadog-metrics
